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The five fastest-growing hubs for datacenter expansion include an interesting mix of urban areas that have one thing in common: lots of available power. Based on projected data-center capacity growth, Las Vegas/Reno is the No. Based on projected data-center capacity growth, Las Vegas/Reno is the No.
Enterprise IT leaders are facing a double-whammy of uncertainties complicating their datacenter building decisions: The ever-changing realities of genAI strategies, and the back-and-forth nature of the current tariff wars pushed by the United States. And if you slow down AI, that will slow down the datacenters.
Datacenters this year will face several challenges as the demand for artificial intelligence introduces an evolution in AI hardware, on-premises and cloud-based strategies for training and inference, and innovations in power distributionsall while opposition to new datacenter developments continues to grow.
According to a report released this week by Bloom Energy, US datacenters will need 55 gigawatts of new power capacity within the next five years. The report , based on a survey of 100 datacenter leaders, also shows that 30% of all sites will be using onsite power by 2030.
Solidigm, a provider of NAND flash solid-state drives, and memory giant Micron have each introduced very high-capacity SSD drives meant for enterprise datacenters, particularly in AI use cases. Solidigm intros 122TB PCIe SSD Solidigm unveiled its highest capacity PCIe drive yet, the 122TB Solidigm D5-P5336 datacenter SSD.
Massive global demand for AI technology is causing datacenters to increase spending on servers, power, and cooling infrastructure. As a result, datacenter CapEx spending will hit $1.1 His projections account for recent advances in AI and datacenter efficiency, he says. Much of this growth is due to AI.
Google has signed its first corporate deal to purchase power from multiple small modular reactors (SMRs) to meet the energy needs of its AI systems, marking a key step as AI companies shift toward nuclear power. This move comes as other major tech companies are also exploring nuclear power as a sustainable energy source.
On the demand side for datacenters, large hyperscale cloud providers and other corporations are building increasingly bigger large language models (LLMs) that must be trained on massive compute clusters. Still, several questions remain about DeepSeeks training, infrastructure, and ability to scale, Schneider stated.
The Singapore government is advancing a green datacenter strategy in response to rising demand for computing resources, driven in large part by resource-hungry AI projects. Singapore wants to go beyond that and reduce energy use for air-cooling by raising the temperatures at which servers and storage racks can safely operate.
The rapid expansion of AI and generative AI (GenAI) workloads could see 40% of datacenters constrained by power shortages by 2027, according to Gartner. The surge is attributed to the increased deployment of large-scale language models (LLMs) and complex algorithms that require massive data processing capabilities.
Rising costs, AI concerns and staffing challenges are among the top issues facing datacenter leaders in 2024, according to Uptime Institute’s latest survey data. Datacenter teams are working to balance higher rack power density and future capacity needs with capital investments and staffing limitations.
The partners also saw a substantial increase in the number of concurrently handled AI processes across diverse cloud environments and servers when using the middleware. “By All of these will be eventually passed on to datacenter operators’ customers and end users,” the researchers noted.
A bid by Google Ireland to build a third datacenter at Grange Castle Business Park in south Dublin has been rejected by local politicians, in part due to what was described as “the lack of significant on-site renewable energy” to power the proposed facility. Carbon footprint : How power is generated matters, he pointed out. ”If
HPE said it would add features to its Nvidia co-developed Private Cloud AI package, which integrates Nvidia GPUs, networks, and software with HPEs AI memory, computing and GreenLake cloud support. HPE data fabric software HPE has also extended support for its Data Fabric technology across the Private Cloud offering.
Graviton instances cost up to 20% less and use up to 60% less energy than comparable EC2 instances on x86, and they are up to 40% more cost-effective than x86. Gravitons success could impact Ampere, which makes Arm-based processors for both the enterprise and the cloud.
Today’s datacenters have a multitude of well-known issues: They gobble up massive amounts of energy and space, are costly, and struggle to meet the intense resource demands of next-gen artificial intelligence (AI). This enables “orders of magnitude lower marginal energy costs,” the company wrote.
The European Union will take a big step toward regulating energy and water use by datacenters in September, when organizations operating datacenters in EU nations will be required to file reports detailing water and energy consumption, as well as steps they are taking to reduce it. between 2020 and 2030.
billion (£10 billion) to build one of Europe’s largest AI datacenters in Northumberland, UK, the British Prime Minister’s office said in a statement. The project is expected to enhance the UK’s AI infrastructure, catering to the vast data storage demands of AI technologies. US private equity giant Blackstone is investing $13.3
The UK government added datacenters to its list of protected critical national infrastructure (CNI) on Thursday, the first change to its CNI list since 2015, when it added the space and defense sectors. Earlier this week, Amazon made a major investment in UK datacenters. “In
AWS, Microsoft, and Google are going nuclear to build and operate mega datacenters better equipped to meet the increasingly hefty demands of generative AI. Earlier this year, AWS paid $650 million to purchase Talen Energy’s Cumulus Data Assets, a 960-megawatt nuclear-powered datacenter on site at Talen’s Susquehanna, Penn.,
The deal, which sees Oracle and Carlyle selling their stakes in Ampere, strengthens SoftBanks position in the growing market for AI-optimized processors as major cloud providers increasingly look beyond traditional x86 architecture. SoftBank Group has announced plans to acquire Ampere Computing for $6.5
In a move closely watched by enterprise technology leaders, Alphabet CEO Sundar Pichai has reaffirmed Googles commitment to spending $75 billion this year on AI infrastructure and datacenters weeks after Microsoft reportedly abandoned many of its datacenter projects. For enterprises, this changes the calculus.
Cisco has taken the wraps off a pair of intelligent WiFi-7 access points and introduced a new way of licensing wireless gear across cloud, on-premises and hybrid networks. The APs come with built-in Bluetooth Low Energy, ultra-wideband, and GPS capabilities. AI and security aren’t just add-on features—they’re built into every layer.
Debates surrounding the Energy Efficiency Act, which aims to reduce energy use in public authorities, corporations, and datacenters, will potentially influence future laws globally. Here’s the context: Datacenters use a lot of energy. Why is this important and what does it mean?
However, concerns about their energy consumption and environmental impact have raised questions about their compatibility with ESG objectives. Aligning IT operations with ESG metrics: CIOs need to ensure that technology systems are energy-efficient and contribute to reducing the company’s carbon footprint.
Illustration of the Microsoft’s closed-loop system for future datacenters that will recycle water for cooling its computing operations. Microsoft Image) Microsoft revealed details of new approach to cooling datacenters that won’t lose water to evaporation. But that number used to be even higher.
The consistent, high-usage profile of datacenters may lead us to believe that clouddatacenters are markedly more sustainable than private clouddatacenters. A single public datacenter can consume the same […]
Amazon Web Services (AWS) intends to invest $100 billion in ramping up infrastructure for AI cloud services this year, surpassing the spending plans of rivals Microsoft and Google. On top of that, the AI-enabled datacenter will need liquid cooling, advanced networking infrastructure, and advanced infrastructure management software.
NIMs are pre-built microservices that simplify the deployment of AI models including inference engines like Triton Inference Server, TensorRT, TensorRT-LLM and PyTorch, according to Nvidia and are aimed at accelerating AI inference development from the cloud to the edge. With increased memory bandwidth (1.4x
As demand for cloud access soars, AWS announced Tuesday that it would spend £8 billion (about US$10.4 billion) over the next five years in UK datacenters. The money will be spent “building, operating and maintaining datacenters in the UK,” an AWS statement said. The UK needs a lot more cloud resources,” Nag said.
American utility and power company AES launched a renewable energy program in mid-2022 that is not only reducing its carbon footprint but adding wealth to its coffer. The project, dubbed Farseer AI Generation Forecasting and Market Automation Program, was developed by a handful of AES data scientists in partnership with Google.
The servers can be centrally managed via HPE Compute Ops Management cloud-based platform, which lets customers control all HPE ProLiant servers from a single console. Six of the eight HPE ProLiant Compute Gen12 servers will be available in the first quarter of this year.
Today’s datacenters are being built at the forefront of industry standards. Within the past five years, the way we construct datacenters has changed dramatically. David Cappuccio, the Chief of Infrastructure Research at Gartner, told CIO that “Datacenters will no longer be constrained by one specific site.
Notably, the chip will send data directly from one compute engine to the next, leading to an efficient use of energy,” wrote Bargav Balakrishnan, vice president, product management, IBM Power, in a blog about the roadmap. The Power11 processor will feature a new integrated stack capacitor (ISC) technology and 2.5D
Data sovereignty and local cloud infrastructure will remain priorities, supported by national cloud strategies, particularly in the GCC. Adopting multi-cloud and hybrid cloud solutions will enhance flexibility and compliance, deepening partnerships with global providers.
But a crucial part of the tech world is often overlooked, despite its equally dynamic growth: the datacenter industry. What datacenter trends and buzzwords should you be aware of in 2025? How have datacenters evolved over the past few decades? 2020s Modern hyperscale datacenters consume >100 MW.
Choice Hotels International’s early and big bet on the cloud has allowed it to glean the many benefits of its digital transformation and devote more energies to a key corporate value — sustainability, its CIO maintains. It also helped reduce energy consumption and costs.
At its Build 2024 event in Seattle this week, Microsoft released updates to its cloud infrastructure to bolster support for all workloads, including AI-related ones. Cobalt 100-based VMs are Azure’s most energy efficient compute offering and deliver up to 40% better performance than our previous generation of Arm-based VMs….
One of the newer technologies gaining ground in datacenters today is the Data Processing Unit (DPU). As VMware has observed , “In simple terms, a DPU is a programable device with hardware acceleration as well as having an ARM CPU complex capable of processing data.
The adoption of hybrid cloud accelerated the development of new business models, experiences, and efficiencies across all industries. For good business reasons, more than up to 50% of applications and data remain on-premises in datacenters, colocations, and edge locations, according to 451 Research.
The cloud with all of its ease and convenience is slowly eclipsing the racks and racks of machines that defined it. There are many practical reasons driving this movement away from the datacenter as a hallmark of information technology. The cloud is a great asset for a company spread across the globe. Local speed.
datacenters with nuclear energy have run into a significant hurdle. The Federal Energy Regulatory Commission (FERC) rejected a deal that would have allowed Amazon to draw more power from the Susquehanna nuclear plant in Pennsylvania. Amazon’s plans to power its U.S. GW capacity and is located in Pennsylvania.
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